Triple

T26189697
Position Surface form Disambiguated ID Type / Status
Subject Rollins Dam E654926 entity
Predicate partOf P40 FINISHED
Object Bear River Project
The Bear River Project is a water management and hydroelectric development on California’s Bear River that includes facilities such as Rollins Dam to provide power generation, irrigation, and flood control.
 E1713321 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bear River Project | Statement: [Rollins Dam, partOf, Bear River Project]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bear River Project
Triple: [Rollins Dam, partOf, Bear River Project]
Generated description
The Bear River Project is a water management and hydroelectric development on California’s Bear River that includes facilities such as Rollins Dam to provide power generation, irrigation, and flood control.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ee5b469bc081908fe486453fdad810 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60ca177ac81908b2bfd6b7c0f93e3 completed May 2, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11857a57a08190a55c86f241f5dc12 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11861e622c8190a73ab247d696435a completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186c04c2c8190a5e70c9d9a5cbeb8 completed May 23, 2026, 10:51 a.m.
Created at: April 26, 2026, 8:44 p.m.